• Research on Dynamic Topic Recognition Based on the Change of Word CoOccurrence Frequency

    Subjects: Library Science,Information Science >> Library Science submitted time 2023-10-08 Cooperative journals: 《知识管理论坛》

    Abstract: [Purpose/Significance] The research on topic recognition is very important to clarify the knowledge structure and research hotspots in the field. Dynamic identification of domain topics can help researchers understand and master the development trend and future trend of the field. [Method/Process] Using the data structure form of tensor, this paper integrated the time dimension into the word co-occurrence matrix, and only needed one clustering to identify the dynamic topic. [Result/Conclusion] Tensor structure and non-negative tensor decomposition algorithm provide a new method for dynamic topic recognition from the perspective of word co-occurrence frequency change. Compared with traditional methods, this method is simpler and faster, and effectively avoids the loss of information.

  • Automatically Discovering Associations Among Technologies in Scientific Literature

    Subjects: Library Science,Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

    Abstract: [Purpose/significance] Technology association analysis can help government to make science and technology strategies and plans, and help enterprises to make up shortcomings for development, and help researchers to select research directions. [Method/process] This paper proposed an approach to discover technology associations and relations by constructing a problem-technology matrix based on scientific literature. First, research questions and technologies were extracted from contents of scientific literature to formulate a question-technology matrix; and then, technologies were calculated to cluster for reducing data sparsity. Finally, experiments showed the effectiveness of our proposed approach. [Result/conclusion] Starting from the question-technology matrix in literature, this paper summarizes the associations between technologies, and explores methods of automatically establishing the relationship between technologies, which can effectively help to discover the relationship between technologies, such as direct competition relationship, cooperation relationship, indirect competition relationship and cooperation relationship. This research is an exploratory research on the discovery and application of technology association for scientific literature. The research results will help to improve the efficiency of scientific and technological innovation research and management.